160 Paleontology/Paleobotany (Posters) I
STASIS IN BIVALVE GROWTH AND POPULATION ECOLOGY: AGE DISTRIBUTION, GROWTH CURVES, AND BIOMASS OF A POPULATION OF REVUELTIAN (UPPER TRIASSIC: EARLY-MID NORIAN) UNIONIDS FROM WEST TEXAS
Paper number: 160-2
Program: Technical Sessions
Time: 1:30 PM – 5:30 PM
Authors
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Spencer G. LucasNew Mexico Museum of Natural History, Albuquerque, NM
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Andrew B. HeckertNew Mexico Museum of Nat History, Albuquerque, NM
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John W. EstepNew Mexico Museum of Natural History, Albuquerque, NM
Abstract
Additionally, we use probability plotting, a powerful analytical tool adapted from reliability engineering, to separate and define numerous Gaussian (normal) component size distributions that make up the overall multi-modal size distribution of this population. These components appear to represent yearly age groups (annual rings are not present in these fossils).
We use the resolved age group data to produce growth curves and show that length (as a function of age) in these Triassic clams fits the von Bertalanffy formula and has the same growth coefficient as the extant unionid Elliptio dilatata. We substitute the length (age) formula into an empirical expression for mass (length) in modern unionids to produce an expression for ~mass throughout life for the fossil clams. Plots of age distribution, length (age), mass (age), and biomass and yearly production for given population densities are all similar to published parameters of extant unionids. This suggests that unionid growth trajectories evolved early during their evolutionary history. The analysis shows no evidence of sexual dimorphism, or of mixed species.
Probability plotting is a simple statistical method that has widespread applications in invertebrate paleontology where large numbers of individuals from “discrete” populations are available for analysis. It can separate and quantify morphometric groupings arising from any cause. The plots yield population, growth, and ecological information that are otherwise difficult to infer from fossil assemblages.